期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2014
卷号：37
期号：3
出版社：IEEE Computer Society
摘要：This paper overviews ENFrame, a programming framework for probabilistic data. In addition to rela-tional query processing supported via an existing probabilistic database management system, ENFrameallows programming with loops, assignments, conditionals, list comprehension, and aggregates to en-code complex tasks such as clustering and classification of probabilistic data.We explain the design choices behind ENFrame, some distilled from the wealth of work on proba-bilistic databases and some new. We also highlight a few challenges lying ahead.
